This is your role•Performing research, development and evaluation of methodologies and systems for solving inverse problems in medical imaging (MR, CT, US, X-ray, PET, SPECT etc.) tasks•Creating scalable prototypes for applications in the medical and customer service domains•Generating intellectual property and scientific manuscripts to showcase novel reconstruction applications in top-ranked journals/conferences •Collaborating with senior R&D and Business stakeholders on integration of prototypes within current and new products•Identifying and applying problem-solving skills in addressing scientific and business challenges of interest to the companyWhat do you need to qualify for this program?•Demonstrates and applies a broad knowledge of machine learning and deep learning•Demonstrates research experience working on inverse problems in imaging, image science and medical imaging •Expertise in digital signal and image processing•Proficient in deep learning frameworks such as Pytorch, TensorFlow, Keras, etc.•Demonstrates strong background in math / physics•Demonstrates strong hands-on experience in Python programming•Familiar with fundamental concepts, practices, and principles of software development, version control, and scalable infrastructure/platforms•Able to work well as individual contributor and within a multidisciplinary teamOptional•PhD in computer science or related discipline (or master’s and currently in a PhD program)•Provides track record of publications & presentations at top-tier conferences / competitionsAt Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow‘s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds
Company: Siemens S.R.L.
Experience Level: Mid-level Professional
Job Type: Full-time